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Channel

Мужской стилист Денис Гаврилов

@denisgavrilovstyle

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

22,214subscribers

-67 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001508165400
TypeChannel
Username@denisgavrilovstyle
CreatedBetween 1 July 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/denisgavrilovstyle

Topic

Art & design — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 45% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

22,15122,28122,2167 August 2026 — 22,281 subscribers8 August 2026 — 22,278 subscribers9 August 2026 — 22,262 subscribers10 August 2026 — 22,263 subscribers11 August 2026 — 22,258 subscribers12 August 2026 — 22,262 subscribers13 August 2026 — 22,261 subscribers14 August 2026 — 22,246 subscribers16 August 2026 — 22,241 subscribers17 August 2026 — 22,221 subscribers20 August 2026 — 22,229 subscribers21 August 2026 — 22,208 subscribers22 August 2026 — 22,214 subscribers24 August 2026 — 22,196 subscribers25 August 2026 — 22,190 subscribers26 August 2026 — 22,176 subscribers27 August 2026 — 22,174 subscribers28 August 2026 — 22,169 subscribers30 August 2026 — 22,170 subscribers1 September 2026 — 22,161 subscribers2 September 2026 — 22,154 subscribers4 September 2026 — 22,171 subscribers7 September 2026 — 22,155 subscribers10 September 2026 — 22,151 subscribers12 September 2026 — 22,169 subscribers14 September 2026 — 22,176 subscribers15 September 2026 — 22,182 subscribers17 September 2026 — 22,214 subscribers22,2147 August 202617 September 2026
28 measurements spanning 41 days, net -67. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 22,132–22,301 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
17 Sept 2026, 23:0022,214+32
15 Sept 2026, 18:2022,182+6
14 Sept 2026, 05:2122,176+7
12 Sept 2026, 15:1622,169+18
10 Sept 2026, 11:1922,151-4
7 Sept 2026, 06:5822,155-16
4 Sept 2026, 14:1822,171+17
2 Sept 2026, 21:3322,154-7
1 Sept 2026, 18:1822,161-9
30 Aug 2026, 17:5522,170+1
28 Aug 2026, 18:2222,169-5
27 Aug 2026, 16:1522,174-2
26 Aug 2026, 12:5822,176-14
25 Aug 2026, 12:2422,190-6
24 Aug 2026, 11:1822,196-18
22 Aug 2026, 20:3422,214+6
21 Aug 2026, 11:2322,208-21
20 Aug 2026, 13:0322,229+8
17 Aug 2026, 13:4722,221-20
16 Aug 2026, 07:4922,241first reading

Engagement

33 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 57 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.2%
avg views ÷ 22,214 subscribers
Avg views / post
2,700
8 posts measured
Reaction rate
1.10%
reactions ÷ views · ER floor
Posts in window
8
of 33 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 September 2026
Posts held33 (3 August 20262 September 2026)
Views total21,620
Reactions total237
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 12:22 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
2m 16s
Average length
45s

Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

843 reactions across 29 posts, in 8 distinct kinds. The most used accounts for 50.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍42850.8%
🔥19322.9%
19122.7%
👏192.25%
😱60.712%
🥰30.356%
😁20.237%
🤔10.119%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 29 of the 33 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 843 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 33 most recent posts we hold, published 3 August 2026 to 2 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

2 Sept 2026, 16:10 UTC≈2,050 views46 reactionsread 3 September 2026

Posted without readable text

👍2810🔥8

1 Sept 2026, 16:37 UTC≈2,370 views6 reactionsread 3 September 2026

Вот еще небольшой пост в тему брюк от канала моего бренда GAVAYOU (пишем там много интересного, о чем не говорю здесь)👆🏻 В том числе можно посмотреть, как смотрится один и тот же крой на разных фигурах и ростовках

👍6

1 Sept 2026, 16:36 UTC≈2,270 views21 reactionsread 3 September 2026
Forwarded from @gava_youPhoto

Брюки должны быть широкими? Нет. Они должны быть правильными Сейчас самые большие споры происходят в области кроя и пропорций брюк: кто-то радикально против против широких, а кто-то никогда больше не наденет slim-силуэт. Но вопрос не в том, широкие брюки или узкие. Вопрос в том, как они работают с фигурой. У мужчин очень разные пропорции: кто-то высокий и худой, кто-то невысокий и плотный, у кого-то объемные ноги,

👍125🔥4

31 Aug 2026, 12:32 UTC≈3,010 views55 reactionsread 3 September 2026

Posted without readable text

👍2818🔥8😁1

27 Aug 2026, 16:21 UTC≈4,000 views34 reactionsread 3 September 2026
Photo

Собираем очень много таких комфортных капсул для работы нашим клиентам в Gavayou, хочу поделиться некоторыми образами Каждый год обновляем коллекцию, расширяем линейку и придумываем что-то новое, изделия из года в год почти не повторяются, постоянно ищем новые ткани и интересные сочетания — честно, большое удовольствие получаю от этой дизайнерской части работы ) Все примерить-посмотреть можно в нашей студии (Москва

👍15🔥127

27 Aug 2026, 16:10 UTC≈3,290 views19 reactionsread 1 September 2026
Photo

Надоел классический офисный гардероб. Что делать? За последний год, что я провожу шопинги, наверное, только пару раз мне встречался запрос именно на традиционный деловой гардероб: пиджак, брюки со стрелками, сорочка, оксфорды. Но гораздо чаще запрос другой: «У меня есть пара костюмов, но я надеваю их только на действительно важные встречи. В остальное время хочется чего-то другого, комфортнее, более расслабленного»

👍12🔥43

26 Aug 2026, 17:29 UTC≈1,950 views28 reactionsread 27 August 2026
Photo

Друзья, приготовил для вас два образа на прохладную погоду (увы, уже пора) Они собраны в разных сегментах — нижнем и среднем массмаркете. При этом образы специально похожи друг на друга. Хотел показать наглядно: один и тот же стиль и настроение можно собрать в магазинах совершенно разного уровня. В обоих образах много осенних трендов: оттенки, фактура кожи и замши, брюки с защипами, лоферы со сборкой. Образ 1 К

🔥16👍84

25 Aug 2026, 17:27 UTC≈2,680 views28 reactionsread 27 August 2026
Video

10 вещей — 25 образов Друзья, конец августа — не повод убирать отпускную капсулу далеко в шкаф (слава богу, можно ездить в отпуск круглый год, а кто-то вообще улетает на зимовку). Да и сама идея капсулы гораздо шире одного сезона: когда вещи правильно подобраны, их легко адаптировать под тёплую осень, добавив один слой сверху. Поэтому в новом выпуске на YouTube показываю, как из 10 вещей собрать 25 разных образов

👍178🔥3

24 Aug 2026, 16:48 UTC≈3,130 views54 reactionsread 27 August 2026
Photo

Что носить в начале осени, когда еще тепло? Небольшие рекомендации Друзья, с началом сентября солнце, конечно, уже не ощущается летним, но это не значит, что надо сразу доставать демисезонное и одеваться во все темное. Сентябрь во многих регионах остаётся почти летним, поэтому самый лучший подход — одеваться по погоде, а не по календарю. Поделюсь еще несколькими лайфхаками Главное правило: осень начинается постепе

26👍24🔥4

23 Aug 2026, 16:25 UTC≈3,660 views50 reactionsread 27 August 2026

Posted without readable text

👍2514😱6🔥5

Showing the 12 most recent of 33 posts we hold for @denisgavrilovstyle. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Александр Ганин | О стиле
@sashganinstyle · 23,896
#1
Андрей Мэйфейр | Мужской Стиль
@style_moderncontext · 3,678
#2
Мужской стиль
@my_mens_style · 4,425
#3
Кипренская. Мужской стиль (Black Tie)
@black_tie1 · 646
#4
Дневник Стилиста
@dnevnikstilista · 1,941
#5
Гоша Стил | Мужской стиль
@goshasteel1 · 7,182
#6
модный комиссар
@im_komissarov · 3,861
#7
Мужской стилист | Александр Клейменов
@kleymenovstyle · 4,419
#8
BondarenkoKirill
@bondarenkokirilll · 43,501
#9
No girls here
@nogirlshere · 4,014
#10
MNFSHN
@menfashion6 · 1,660 (as read 21 September 2026)
#11
Немодный Слава
@nemodnyslava · 2,464
#12
Мужская Мода | Стиль | Одежда
@moda_mujskaya · 3,350
#13
the man who
@man_whos · 18,745
#14
Переодела мужа
@stylist_for_man · 8,977
#15
Мужской стиль | Мода
@style_stile · 15,400
#16
Арсен Айрапетов | О мужском стиле
@ars_areveni · 6,134
#17
дрэйп | ателье и журнал
@drape_house · 1,787
#18
ШЛЯПА 🎩
@proninstyle · 1,194
#19
Лисицкий стиль
@lisitskiystyle · 2,413
#20
KANZLER. Мужской стиль
@kanzler_style_official · 14,638
#21
Sidewalkstyle
@sidewalkstyle · 673
#22
STEPRITA
@leopardhunt · 38,031
#23
Школа стиля Чигиринских
@thechigirinskikh · 11,837
#24
Мужской стиль и мода
@kakmodno · 6,468
#25
Fashion Factory School
@hacking_fashion · 33,556
#26
Александр Ганин | Стиль
@gansastyle · 2,040
#27
HENDERSON
@HENDERSON_fashion · 14,530
#28
Осовцов говорит
@osovtsovgovorit · 78,412
#29
Адаптация
@toadapt · 5,391
#30
ideas.howtowear.it
@tanyamitskevich · 716 (as read 21 September 2026)
#31
Стилист Наташа Токарева. Типажи
@tokareva_natasha · 3,327
#32
Банкста
@banksta · 438,140
#33
Михаил Гребенюк
@grebenukm · 258,153
#34
LOOKFINDER
@lookfinder · 53,214
#35
Stretford’s diary
@stretfordsdiary · 4,588
#36
Dzari
@DrDzari · 267,375
#37
Style Consultant
@styleconsultant · 1,892
#38
Oleg Torbosov
@TorbosovLife · 107,515
#39
MyWatch
@MyWatchRu · 10,384
#40
Sokolovskiy
@sokolay · 109,626
#41
Bon Mot
@lebonmot · 36,894
#42
ferbers
@stasferbers · 7,326
#43
История настоящего предпринимателя | Долгов Александр
@StoryTrueBuisness · 13,462
#44
Mr. Stitch Journal
@mr_stitch_journal · 1,029
#45
Про Часы | Виктор Манкаш
@prochasyblog · 8,719
#46
токсичная мода
@toxicfashion · 6,251
#47
люди и одежда
@dressedpeople · 5,344
#48
Мужчина, вы куда?
@crisisman · 44,838
#49
Juventus Club Russia | Ювентус
@forzajuve_ru · 1,297
#50
Канал «И»
@iii_chanel · 1,086
#51
ТВОЙ ТЕСТОСТЕРОН
@einher · 5,878
#52
Дмитрий CUBE
@dmitryu_cube · 499
#53
СТИЛИСТ. ПРОФЕССИЯ. ИЗ ХАОСА В СИСТЕМУ.
@style_consulting · 630
#54
Павел Кейв
@pavelkeiv · 2,325
#55
Строительная кухня
@demopark · 4,175
#56
Фешн май профешн
@kaff_stylist · 643
#57
Питомник Влада Ковальчука
@pitomnikvk · 1,416
#58
Пиар Интеграл медиа
@printegral · 688
#59
Белка и Котик
@Woolfamily · 1,563
#60
Notionbox - шаблоны для Notion & BuildIn.ai
@notionboxru · 10,351
#61

Read from Telegram’s recommendation API, most recently 21 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Александр Ганин | О стиле
@sashganinstyle · 23,896
Telegram ranks this channel #1 of 51 here — alongside 50 others — read 17 September 2026
Серго нашел,я купил
@sergonashel · 86,100
Telegram ranks this channel #20 of 44 here — alongside 43 others — read 23 August 2026
BondarenkoKirill
@bondarenkokirilll · 43,501
Telegram ranks this channel #23 of 61 here — alongside 60 others — read 28 August 2026
LOOKFINDER
@lookfinder · 53,214
Telegram ranks this channel #63 of 81 here — alongside 80 others — read 24 August 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Мужской стилист Денис Гаврилов” (@denisgavrilovstyle), 22,214 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/denisgavrilovstyle.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.